Papers
11,955 papers found
Eureka: Human-Level Reward Design via Coding Large Language Models
Yecheng Jason Ma, William Liang, Guanzhi Wang et al.
Evaluating Language Model Agency Through Negotiations
Tim Ruben Davidson, Veniamin Veselovsky, Michal Kosinski et al.
Evaluating Large Language Models at Evaluating Instruction Following
Zhiyuan Zeng, Jiatong Yu, Tianyu Gao et al.
Evaluating Representation Learning on the Protein Structure Universe
Arian Rokkum Jamasb, Alex Morehead, Chaitanya K. Joshi et al.
Evaluating the Adversarial Robustness of Semantic Segmentation: Trying Harder Pays Off
Levente Halmosi, Bálint Mohos, Márk Jelasity
Evaluating the Zero-shot Robustness of Instruction-tuned Language Models
Jiuding Sun, Chantal Shaib, Byron C Wallace
EventRPG: Event Data Augmentation with Relevance Propagation Guidance
Mingyuan Sun, Donghao Zhang, Zongyuan Ge et al.
Evoke: Evoking Critical Thinking Abilities in LLMs via Reviewer-Author Prompt Editing
Xinyu Hu, Pengfei Tang, Simiao Zuo et al.
Ex2Eg-MAE: A Framework for Adaptation of Exocentric Video Masked Autoencoders for Egocentric Social Role Understanding
Minh Tran, Yelin Kim, Che-Chun Su et al.
ExeDec: Execution Decomposition for Compositional Generalization in Neural Program Synthesis
Kensen Shi, Joey Hong, Yinlin Deng et al.
EX-Graph: A Pioneering Dataset Bridging Ethereum and X
Qian Wang, Zhen Zhang, Zemin Liu et al.
ExMatch: Self-guided Exploitation for Semi-Supervised Learning with Scarce Labeled Samples
Noo-ri Kim, Jin-Seop Lee, Jee-Hyong Lee
Expected flow networks in stochastic environments and two-player zero-sum games
Marco Jiralerspong, Bilun Sun, Danilo Vucetic et al.
Experimental Design for Multi-Channel Imaging via Task-Driven Feature Selection
Stefano B. Blumberg, Paddy J. Slator, Daniel C. Alexander
Explaining Kernel Clustering via Decision Trees
Maximilian Fleissner, Leena Chennuru Vankadara, Debarghya Ghoshdastidar
Explaining Time Series via Contrastive and Locally Sparse Perturbations
Zichuan Liu, Yingying ZHANG, Tianchun Wang et al.
Explain via Any Concept: Concept Bottleneck Model with Open Vocabulary Concepts
Andong Tan, Fengtao Zhou, Hao Chen
Exploiting Causal Graph Priors with Posterior Sampling for Reinforcement Learning
Mirco Mutti, Riccardo De Santi, Marcello Restelli et al.
Exploiting Semantic Reconstruction to Mitigate Hallucinations in Vision-Language Models
Minchan Kim, Minyeong Kim, Junik Bae et al.
Exploiting Supervised Poison Vulnerability to Strengthen Self-Supervised Defense
Jeremy Styborski, Mingzhi Lyu, Yi Huang et al.
Explorative Inbetweening of Time and Space
Haiwen Feng, Zheng Ding, Zhihao Xia et al.
Explore the Potential of CLIP for Training-Free Open Vocabulary Semantic Segmentation
Tong Shao, Zhuotao Tian, Hang Zhao et al.
Exploring Active Learning in Meta-Learning: Enhancing Context Set Labeling
Wonho Bae, Jing Wang, Danica J. Sutherland
Exploring Conditional Multi-Modal Prompts for Zero-shot HOI Detection
Ting Lei, Shaofeng Yin, Yuxin Peng et al.
Exploring Diffusion Time-steps for Unsupervised Representation Learning
Zhongqi Yue, Jiankun Wang, Qianru Sun et al.